10 citations · 17 across the 6 of their papers we have counts for
7 papers · 1 filter
AnimatedLLM: Explaining LLMs with Interactive Visualizations
Zdeněk Kasner, Ondřej Dušek
Large language models (LLMs) are becoming central to natural language processing education, yet materials showing their mechanics are sparse. We present AnimatedLLM, an interactive…
FreshTab: Sourcing Fresh Data for Table-to-Text Generation Evaluation
Kristýna Onderková, Ondřej Plátek, Zdeněk Kasner +1
Table-to-text generation (insight generation from tables) is a challenging task that requires precision in analyzing the data. In addition, the evaluation of existing benchmarks is…
LLMs as Span Annotators: A Comparative Study of LLMs and Humans
Zdeněk Kasner, Vilém Zouhar, Patrícia Schmidtová +7
Span annotation - annotating specific text features at the span level - can be used to evaluate texts where single-score metrics fail to provide actionable feedback. Until recently…
Neural Pipeline for Zero-Shot Data-to-Text Generation
Zdeněk Kasner, Ondřej Dušek
In data-to-text (D2T) generation, training on in-domain data leads to overfitting to the data representation and repeating training data noise. We examine how to avoid finetuning p…
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
Ondřej Dušek, Zdeněk Kasner
A major challenge in evaluating data-to-text (D2T) generation is measuring the semantic accuracy of the generated text, i.e. checking if the output text contains all and only facts…
Data-to-Text Generation with Iterative Text Editing
Zdeněk Kasner, Ondřej Dušek
We present a novel approach to data-to-text generation based on iterative text editing. Our approach maximizes the completeness and semantic accuracy of the output text while lever…